> Markdown version of [/jobs/ext/2973356-data-scientist](https://www.wearedevelopers.com/jobs/ext/2973356-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** CREDIBLE, INCORPORATED - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $102,000.0 - $136,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Artificial Neural Networks, Data Cleansing, Extract Transform Load (ETL), Data Mining, Github, Python (Programming Language), Machine Learning, Recommender Systems, Snowflake, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines, Amazon Redshift - **Published:** September 18, 2026 - **Apply:** https://www.builtincolorado.com/job/data-scientist/11231997?handler=ApplyRedirect ## About the Role * BA/BS in Mathematics, Statistics, or Computer Science required. Masters Degree in a quantitative or scientific discipline strongly desired. * 3+ years experience in developing, testing, and deploying optimized predictive models (preferably to inform in-product recommendation systems and automated customer re-targeting efforts). * Advanced statistical modeling skillset (Python, R, etc). * Advanced SQL querying, data mining, and data cleansing skillset. * Deep knowledge of supervised and unsupervised machine learning algorithms (neural networks, decision trees, etc.). * Advanced knowledge of experiment design. * Experience with Seldon-core or other MLOps tools is preferred. * Hands-on experience with cloud infrastructure tools (AWS EC2, S3, Redshift, Snowflake, containers). * Advanced visualization/reporting and presentation experience. * Version Control Experience (GitHub). * Demonstrated experience adopting and effectively leveraging AI tools in day-to-day data science workflows. * Familiarity with ML deployment infrastructure (ETL, tools, new products in the space). * Excellent strategic project planning skillset. * Excellent communication skills (written and verbal). * Experience at an e-commerce or fintech company is a plus. Must Haves: * Ability to develop project plans and deliver results against quarterly and annual roadmaps. * Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions. * Excellent written and verbal communication. Ability to articulate vision, complex thoughts, analytical processes, and results in clear business terms. * Anticipate business needs and think with a business owner mindset - think critically about analyses and solutions and provide improvement recommendations. This role requires an individual who can work autonomously. ## Description Our Business Intelligence and Analytics team is seeking to grow the company's Data Science and Machine Learning capabilities across several facets of our business. We are seeking a seasoned Data Scientist to lead this transformative step change function and nurture its growth across several focus areas. You will drive tactical and strategic execution of several data science projects and manage their entire lifecycle. You will: * Drive the long-term statistical modeling and machine learning vision of the company. * Conducting exploratory data analysis (EDA) prior to model development * Performing feasibility assessments (POCs) for proposed ML solutions * Monitoring and diagnosing model performance issues, including drift and degradation * Researching and evaluating additional use cases for existing models * Supporting ad hoc ML-related analytics requests from stakeholders and senior data scientists * Conduct analysis to develop and improve our product recommendation and user classification systems. Use this understanding to help optimize our adaptive user experience, cross selling initiatives, and retargeting efforts. * Design, prototype, and implement models across several domains. Manage each part of a project's life cycle, including ad-hoc exploration, preparation of training data, model development, and production deployment. * Work with product and marketing managers, analysts, and engineers to turn insights about our users into automated services., We are optimistic, challengers, trustworthy, clever, and smart. We are open and transparent. We strive to act as advisors by being friendly, objective, and open in our communication. We use language that is intelligent yet approachable. When appropriate, we'll drop in a bit of wit to position ourselves as a fresh, reliable voice in the financial world. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)